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Lecture 10. Clustering and Community Analysis
Week 10 : Clustering and Community Analysis
Instructions:
1.Students read the lecture material
2.Students attend synchronous lecture
3.Discussion or Students review the lesson (Fun Quiz)
4.Ask questions or discussion in Q & A Forum
5.Submit first progress of your Project. Due: Next Lecture
6.Find related required works in Folder Extra Resources
Course Learning Outcomes (CLO):
1.Understand and apply the concept of Social Network Analysis in identifying communities in social networks as well as analyzing and visualizing them in graph..
Indicators:
1.Students' accuracy in understanding methods for identifying communities in social networks
2.Students able to use SNA softwares to identify communities in social networks
0/5
Lecture 11. Data Wrangling
Week 11 : Data Wrangling
Instructions:
Students read the lecture material
1.Students attend synchronous lecture
2.Discussion or Students review the lesson (Fun Quiz)
3.Ask questions or discussion in Q & A Forum
4.Project Peer Reviews. Due: Next Lecture
5.Find related required works in Folder Extra Resources
Course Learning Outcomes (CLO):
1.Understand and apply the concept of Social Network Analysis in identifying communities in social networks as well as analyzing and visualizing them in graph..
Indicator:
1.Students able to use SNA softwares to collect, analyze, measure, and analyze social networks in graph representation
0/4
Lecture 12. Data Visualization
Week 12 : Data Visualization
Instructions:
1.Students read the lecture material
2.Students attend synchronous lecture
3.Discussion or Students review the lesson (Fun Quiz)
4.Ask questions or discussion in Q & A Forum
5.Submit third progress of your Project. Due: Next Lecture
6.Find related required works in Folder Extra Resources
Course Learning Outcomes (CLO):
1.Understand and apply the concept of Social Network Analysis in identifying communities in social networks as well as analyzing and visualizing them in graph..
Indicator:
1.Students able to use SNA softwares to visualise social networks data in graph representation
0/4
Lecture 13. SNA Applications
Week 13 : SNA Applications
Instructions:
1.Students read the lecture material
2.Students attend synchronous lecture
3.Discussion or Students review the lesson (Fun Quiz)
4.Ask questions or discussion in Q & A Forum
5.Submit Final Report of Final-Term Project. Due: Next Lecture
6.Find related required works in Folder Extra Resources
Course Learning Outcomes (CLO):
1.Understand and apply the concept of Social Network Analysis in identifying communities in social networks as well as analyzing and visualizing them in graph..
Indicator:
1.Students able to use SNA softwares to analyze, measure, and visualise social networks data in graph representation
0/4